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Stranded Nations? Transition Risks and Opportunities towards a Clean Economy

The transition away from a fossil-fuel powered economy towards a cleaner production system will create winners and losers in the global trade system. We compile a list of 'brown' traded products whose use is highly likely to decline if the world is to mitigate climate change, and explore which countries are most at risk of seeing their productive capabilities 'stranded'. Using methods from economic ...

Putting MARS into Space: Non Linearities and Spatial Effects in Hedonic Models

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric machine learning algorithm that automatizes the selection of non-linear terms in regression models. In this study, we propose using MARS in a spatial regression framework to account for potential non-linearities and spatial effects in spatial regression models. Using a relatively large data set of 17,000 dwellings ...

Social Policy or Crowding-out? Tenant Protection in Comparative Long-run Perspective

Private rental markets have become increasingly important since the Global Financial Crisis 2008–2009 and rent controls are back on the political agenda. Yet, they have received less attention from housing scholars than homeownership and public housing. This paper presents new data on the development of private tenancy legislation based on a content-coding of rent control, protection of tenants from ...

Do Rent Controls and Other Tenancy Regulations Affect New Construction? Some Answers from Long-Run Historical Evidence

Foreign Exchange Intervention: A New Database

We construct a novel database of monthly foreign exchange interventions for 49 countries over up to 22 years. We build on a text classification approach that extracts information about interventions from news articles and calibrate our procedure to data about actual interventions. This new dataset allows us to document stylized facts about the use of foreign exchange interventions for countries that ...

Remunicipalization, Corporatization, and Outsourcing: The Performance of Public-Sector Firms after Reorganization

This article investigates the impact of reorganization on productivity within public-sector firms addressing the owners' composition, the board-management relationship, and the management's decision to outsource activities. Considering a large panel of 2,325 German municipally owned utilities between 2003 and 2014, firm-level productivity is estimated based on a control function approach. Contrary ...

Migration and Dynamics in Men’s and Women’s Domestic Work

International migration of couples is rising. Still, there is little evidence on men’s and women’s domestic work hours before and after migration. This is despite the fact that domestic work provides deep insights into family life and, for migrants, is directly linked to integration. Therefore, this study examines how immigrant men and women change their domestic work hours following migration, using ...

Experimental Evidence on Panel Conditioning Effects when Increasing the Surveying Frequency in a Probability-Based Online Panel

We investigate panel conditioning effects in a long-running probability-based online panel of the general population through a large-scale experiment conducted in 2020. Our experiment was specifically designed to study the effect of intensifying the surveying frequency for the treatment group (N = 5,598 panel members) during a 16-week corona study while keeping the control group (N = 799 panel members) ...

Recent Methodological Advances in Panel Data Collection, Analysis, and Application: [Editorial]

Panel studies have become an indispensable part of today's research world especially when addressing causal questions and tracking changes over time. Three conditions are essential for effective panel data analysis: 1) having a sufficiently long time series with a substantial number of observations, 2) ensuring measurement consistency over time, and 3) using a meaningful model for selecting elements ...

Does Your Smartphone “Know” Your Social Life? A Methodological Comparison of Day Reconstruction, Experience Sampling, and Mobile Sensing

Mobile sensing is a promising method that allows researchers to directly observe human social behavior in daily life using people's mobile phones. To date, limited knowledge exists on how well mobile sensing can assess the quantity and quality of social interactions. We therefore examined the agreement among experience sampling, day reconstruction, and mobile sensing in the assessment of multiple aspects ...